Research graph
References from Supervised dimension reduction for autoregressive time series based on sliced inverse regression. Local targets link to admitted publications; unresolved targets remain external evidence.
Nonlinear component analysis as a kernel eigenvalue problem
10.1162/089976698300017467 · 1998 · External reference
Nonlinear dimensionality reduction by locally linear embedding
10.1126/science.290.5500.2323 · 2000 · External reference
A global geometric framework for nonlinear dimensionality reduction
10.1126/science.290.5500.2319 · 2000 · External reference
Sliced inverse regression for dimension reduction
10.1080/01621459.1991.10475035 · 1991 · External reference
Unresolved reference
2015 · External reference
Fisher lecture: Dimension reduction in regression
2007 · External reference
Partial least squares regression and statistical models
1990 · External reference
PLS-regression: A basic tool of chemometrics
10.1016/s0169-7439(01)00155-1 · 2001 · External reference
Prediction by supervised principal components
10.1198/016214505000000628 · 2006 · External reference
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
2018 · External reference
Finding structure in time
10.1207/s15516709cog1402_1 · 1990 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
Unresolved reference
2016 · External reference
SAVE: A method for dimension reduction and graphics in regression
10.1080/03610920008832598 · 2000 · External reference
On principal hessian directions for data visualization and dimension reduction: Another application of Stein’s lemma
10.1080/01621459.1992.10476258 · 1992 · External reference
Nonlinear dimension reduction with kernel sliced inverse regression
2008 · External reference
Sparse sliced inverse regression
10.1198/004017006000000129 · 2006 · External reference
On consistency and sparsity for sliced inverse regression in high dimensions
10.1214/17-aos1561 · 2018 · External reference
Sparse sliced inverse regression via lasso
10.1080/01621459.2018.1520115 · 2019 · External reference
A robustified version of sliced inverse regression
2001 · External reference
Robust functional sliced inverse regression
10.1007/s00362-015-0695-x · 2017 · External reference
RSIR: Regularized sliced inverse regression for motif discovery
10.1093/bioinformatics/bti680 · 2005 · External reference
Sliced inverse regression with regularizations
10.1111/j.1541-0420.2007.00836.x · 2008 · External reference
Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression
10.1016/j.csda.2007.02.005 · 2007 · External reference
Sparse sliced inverse regression for high dimensional data analysis
10.1186/s12859-022-04700-3 · 2022 · External reference
A new dimension reduction approach for data-rich marketing environments: Sliced inverse regression
10.1509/jmkr.37.1.88.18715 · 2000 · External reference
High-dimensional elliptical sliced inverse regression in non-Gaussian distributions
10.1080/07350015.2021.1910041 · 2022 · External reference
Dependence matters! Investor sentiment and stock returns: A sliced inverse regression approach
10.1111/jfir.12454 · 2025 · External reference
Using the bootstrap to select one of a new class of dimension reduction methods
10.1198/016214503000000927 · 2003 · External reference
Iterative sliced inverse regression for segmentation of ultrasound and MR images
10.1016/j.patcog.2007.04.019 · 2007 · External reference
Kernel sliced inverse regression with applications to classification
10.1198/106186008x345161 · 2008 · External reference
Multinomial inverse regression for text analysis
10.1080/01621459.2012.734168 · 2013 · External reference
Sliced inverse regression with adaptive spectral sparsity for dimension reduction
10.1109/tcyb.2016.2526630 · 2016 · External reference
An online Bayesian framework for identifying latent system degradation states
10.1109/tr.2025.3647489 · 2026 · External reference
Unresolved reference
1995 · External reference
Sliced inverse regression for high-dimensional time series
2003 · External reference
Supervised dimension reduction for multivariate time series
2017 · External reference
Sliced average variance estimation for multivariate time series
10.1080/02331888.2019.1605515 · 2019 · External reference
Supervised dimension reduction for functional time series
2024 · External reference
Functional sliced inverse regression analysis
10.1080/0233188031000112845 · 2003 · External reference
Asymptotics of sliced inverse regression
1995 · External reference
Sufficient dimension reduction via inverse regression: A minimum discrepancy approach
10.1198/016214504000001501 · 2005 · External reference
Structure-property-process parameter correlation in the advanced MOCVD growth of 4+ μm REBCO thick films over 10+ m
2022 · External reference
Development of 50-meter RE-Ba-Cu-O tapes with critical current over 1750 A/12mm at 65 K, 0.25 T by advanced-MOCVD
10.1109/tasc.2023.3234882 · 2023 · External reference
Robust functional sliced inverse regression
10.1007/s00362-015-0695-x · ExternalCitation · doi-reference
Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression
10.1016/j.csda.2007.02.005 · ExternalCitation · doi-reference
Iterative sliced inverse regression for segmentation of ultrasound and MR images
10.1016/j.patcog.2007.04.019 · ExternalCitation · doi-reference
PLS-regression: A basic tool of chemometrics
10.1016/s0169-7439(01)00155-1 · ExternalCitation · doi-reference
Sliced inverse regression for dimension reduction
10.1080/01621459.1991.10475035 · ExternalCitation · doi-reference
On principal hessian directions for data visualization and dimension reduction: Another application of Stein’s lemma
10.1080/01621459.1992.10476258 · ExternalCitation · doi-reference
Multinomial inverse regression for text analysis
10.1080/01621459.2012.734168 · ExternalCitation · doi-reference
Sparse sliced inverse regression via lasso
10.1080/01621459.2018.1520115 · ExternalCitation · doi-reference
Functional sliced inverse regression analysis
10.1080/0233188031000112845 · ExternalCitation · doi-reference
Sliced average variance estimation for multivariate time series
10.1080/02331888.2019.1605515 · ExternalCitation · doi-reference
SAVE: A method for dimension reduction and graphics in regression
10.1080/03610920008832598 · ExternalCitation · doi-reference
High-dimensional elliptical sliced inverse regression in non-Gaussian distributions
10.1080/07350015.2021.1910041 · ExternalCitation · doi-reference
RSIR: Regularized sliced inverse regression for motif discovery
10.1093/bioinformatics/bti680 · ExternalCitation · doi-reference
Development of 50-meter RE-Ba-Cu-O tapes with critical current over 1750 A/12mm at 65 K, 0.25 T by advanced-MOCVD
10.1109/tasc.2023.3234882 · ExternalCitation · doi-reference
Sliced inverse regression with adaptive spectral sparsity for dimension reduction
10.1109/tcyb.2016.2526630 · ExternalCitation · doi-reference
An online Bayesian framework for identifying latent system degradation states
10.1109/tr.2025.3647489 · ExternalCitation · doi-reference
Sliced inverse regression with regularizations
10.1111/j.1541-0420.2007.00836.x · ExternalCitation · doi-reference
Dependence matters! Investor sentiment and stock returns: A sliced inverse regression approach
10.1111/jfir.12454 · ExternalCitation · doi-reference
A global geometric framework for nonlinear dimensionality reduction
10.1126/science.290.5500.2319 · ExternalCitation · doi-reference
Nonlinear dimensionality reduction by locally linear embedding
10.1126/science.290.5500.2323 · ExternalCitation · doi-reference
Nonlinear component analysis as a kernel eigenvalue problem
10.1162/089976698300017467 · ExternalCitation · doi-reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · ExternalCitation · doi-reference
Sparse sliced inverse regression for high dimensional data analysis
10.1186/s12859-022-04700-3 · ExternalCitation · doi-reference
Sparse sliced inverse regression
10.1198/004017006000000129 · ExternalCitation · doi-reference
Using the bootstrap to select one of a new class of dimension reduction methods
10.1198/016214503000000927 · ExternalCitation · doi-reference
Sufficient dimension reduction via inverse regression: A minimum discrepancy approach
10.1198/016214504000001501 · ExternalCitation · doi-reference
Prediction by supervised principal components
10.1198/016214505000000628 · ExternalCitation · doi-reference
Kernel sliced inverse regression with applications to classification
10.1198/106186008x345161 · ExternalCitation · doi-reference
Finding structure in time
10.1207/s15516709cog1402_1 · ExternalCitation · doi-reference
On consistency and sparsity for sliced inverse regression in high dimensions
10.1214/17-aos1561 · ExternalCitation · doi-reference
A new dimension reduction approach for data-rich marketing environments: Sliced inverse regression
10.1509/jmkr.37.1.88.18715 · ExternalCitation · doi-reference
